DPPFA−Net Enhances 3D Object Detection for Autonomous

Synopsis:Ritsumeikan University researchers introduce DPPFA−Net, a groundbreaking 3D object detection network melding LiDAR and image data to improve accuracy f

Related Keywords

, Hiroyuki Tomiyama , Ritsumeikan University , Professor Hiroyuki Tomiyama , Memory Based Point Pixel Fusion , Deformable Point Pixel Fusion , Semantic Alignment Evaluator ,